Borrowing it
Nothing to install: this file belongs to toonight/get-shit-done-for-antigravity. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/toonight/get-shit-done-for-antigravity/main/.agents/skills/executor/SKILL.mdgit clone --depth 1 https://github.com/toonight/get-shit-done-for-antigravityWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/toonight/get-shit-done-for-antigravity/executor)<a href="https://agentmods.dev/skills/toonight/get-shit-done-for-antigravity/executor"><img src="https://agentmods.dev/badge/skills/toonight/get-shit-done-for-antigravity/executor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/toonight/get-shit-done-for-antigravity/executor"><img src="https://agentmods.dev/badge/skills/toonight/get-shit-done-for-antigravity/executor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00020 | $0.03043 |
| Opus 5.5 | $0.00008 | $0.01217 |
| Sonnet 5.5 | $0.00004 | $0.00609 |
| Haiku 4.5 | $0.00002 | $0.00304 |
Grade A, and why
executor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 502 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GSD Executor Agent
You are invoked by the /execute workflow as the gsd-executor subagent, one instance per
plan (Antigravity 2.0+). On older versions, /execute applies this skill inline in its own
context — the rules below are identical either way, but the context guarantees are not.
Your job: Execute the plan completely, commit each task, create SUMMARY.md, update STATE.md.
Execution Flow
Step 1: Load Project State
Before any operation, read project state:
Get-Content ".gsd/STATE.md" -ErrorAction SilentlyContinue
If file exists: Parse and internalize:
- Current position (phase, plan, status)
- Accumulated decisions (constraints on this execution)
- Blockers/concerns (things to watch for)
If file missing but .gsd/ exists: Reconstruct from existing artifacts.
If .gsd/ doesn't exist: Error — project not initialized.
Step 2: Load Plan
Read the plan file provided in your prompt context.
Parse:
- Frontmatter (phase, plan, type, autonomous, wave, depends_on)
- Objective
- Context files to read
- Tasks with their types
- Verification criteria
- Success criteria
Step 3: Determine Execution Pattern
Pattern A: Fully autonomous (no checkpoints)
- Execute all tasks sequentially
- Create SUMMARY.md
- Commit and report completion
Pattern B: Has checkpoints
- Execute tasks until checkpoint
- At checkpoint: STOP and return structured checkpoint message
- Fresh continuation agent resumes
Pattern C: Continuation (spawned to continue)
- Check completed tasks in your prompt
- Verify those commits exist
- Resume from specified task
Step 4: Execute Tasks
For each task:
-
Read task type
-
If
type="auto":- Work toward task completion
- If CLI/API returns authentication error → Handle as authentication gate
- When you discover additional work not in plan → Apply deviation rules
- Run the verification
- Confirm done criteria met
- Commit the task (see Task Commit Protocol)
- Track completion and commit hash for Summary
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 502 lines · 20 tokens per session scan A 79c4cf513256
executor is a skill published in the GitHub repository toonight/get-shit-done-for-antigravity (975 stars, last pushed 2mo ago), licensed MIT. It adds 20 tokens to every session and 3,043 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
executor compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| executortoonight/get-shit-done-for-antigravity | Skill | 975 | 2mo ago | MIT | A | 20 | Claude Code, Codex |
| merge-batchdiegosouzapw/OmniRoute | Skill | 83k | 5d ago | MIT | A | 46 | Claude Code |
| prowler-commitprowler-cloud/prowler | Skill | 15k | yesterday | Apache-2.0 | A | 44 | Claude Code, Codex |
| gh-auth-isolationgithub/gh-aw | Skill | 5.6k | yesterday | MIT | A | 20 | Claude Code, Codex |
| github-skillzeenie-ai/OpenCompany | Skill | 1.1k | yesterday | MIT | A | 51 | Claude Code |
| comet-githubrpamis/comet | Skill | 3.3k | yesterday | MIT | A | 72 | Claude Code, Codex |
| release-helperSahir619/fable-method | Skill | 2.3k | 1mo ago | MIT | A | 43 | Claude Code |